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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Virginia population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Virginia. The dataset can be utilized to understand the population distribution of Virginia by age. For example, using this dataset, we can identify the largest age group in Virginia.
Key observations
The largest age group in Virginia was for the group of age 30 to 34 years years with a population of 596,257 (6.89%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Virginia was the 85 years and over years with a population of 148,515 (1.72%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Virginia Population by Age. You can refer the same here
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TwitterIn 2023, about 1.58 million people in Virginia were Black or African American. Furthermore, there were about 5.1 million white people, and 970,049 Hispanic or Latino people living in Virginia in that year.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Virginia population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Virginia across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2024, the population of Virginia was 8.81 million, a 0.88% increase year-by-year from 2023. Previously, in 2023, Virginia population was 8.73 million, an increase of 0.59% compared to a population of 8.68 million in 2022. Over the last 20 plus years, between 2000 and 2024, population of Virginia increased by 1.71 million. In this period, the peak population was 8.81 million in the year 2024. The numbers suggest that the population has not reached its peak yet and is showing a trend of further growth. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Virginia Population by Year. You can refer the same here
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TwitterIn 2023, about **** percent of the population in West Virginia was between the ages of 65 and 74 years old. A further **** percent of the population was between the ages of 45 and 54 years old in that same year.
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TwitterComprehensive demographic dataset for Virginia, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterFrom the Weldon Cooper Center for Public Service at the University of Virginia the "Demographics Research Group produces the official annual population estimates for Virginia and its localities; conducts practical and policy-oriented analysis of census and demographic data under contract; and communicates rigorous research and its policy implications to clients including state and local governments, employers, non-profit organizations, and the general public, through meaningful, intuitive publications, and presentations."
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Virginia Beach city population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Virginia Beach city across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.
Key observations
In 2023, the population of Virginia Beach city was 453,649, a 0.31% decrease year-by-year from 2022. Previously, in 2022, Virginia Beach city population was 455,069, a decline of 0.76% compared to a population of 458,569 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Virginia Beach city increased by 26,825. In this period, the peak population was 459,684 in the year 2020. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).
When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).
Data Coverage:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Virginia Beach city Population by Year. You can refer the same here
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Resident Population in Virginia (VAPOP) from 1900 to 2024 about VA, residents, population, and USA.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Resident Population in Fairfax County, VA (VAFAIR5POP) from 1970 to 2024 about Fairfax County, VA; Washington; VA; residents; population; and USA.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Resident Population in Frederick County, VA (VAFRED9POP) from 1970 to 2024 about Frederick County, VA; Winchester; VA; residents; population; and USA.
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TwitterComprehensive demographic dataset for Dyke, VA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Resident Population in Richmond city, VA (VARICH0POP) from 1970 to 2024 about Richmond City, VA; Richmond; VA; residents; population; and USA.
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TwitterComprehensive demographic dataset for Gum Spring, VA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Green Bay, VA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Zuni, VA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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TwitterComprehensive demographic dataset for Celebrate Virginia, Fredericksburg, VA, US including population statistics, household income, housing units, education levels, employment data, and transportation with year-over-year changes.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Resident Population in Manassas city, VA (VAMANA3POP) from 1970 to 2024 about Manassas City, VA; Washington; VA; residents; population; and USA.
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TwitterThis EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Virginia Beach city population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Virginia Beach city. The dataset can be utilized to understand the population distribution of Virginia Beach city by age. For example, using this dataset, we can identify the largest age group in Virginia Beach city.
Key observations
The largest age group in Virginia Beach city, VA was for the group of age 30 to 34 years years with a population of 36,372 (7.96%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Virginia Beach city, VA was the 80 to 84 years years with a population of 7,249 (1.59%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Virginia Beach city Population by Age. You can refer the same here
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Twitter2013-2023 Virginia Population by Urban Area. Contains estimates.
U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B01001 Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)
The United States Census Bureau's American Community Survey (ACS): -What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html) -Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html) -Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)
Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.
Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset tabulates the Virginia population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Virginia. The dataset can be utilized to understand the population distribution of Virginia by age. For example, using this dataset, we can identify the largest age group in Virginia.
Key observations
The largest age group in Virginia was for the group of age 30 to 34 years years with a population of 596,257 (6.89%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Virginia was the 85 years and over years with a population of 148,515 (1.72%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Virginia Population by Age. You can refer the same here